At the Crossroads: Lessons and Challenges in Computational Social Science

At the Crossroads: Lessons and Challenges in Computational Social Science

Author: Javier Borge-Holthoefer

Publisher: Frontiers Media SA

ISBN: 9782889450213

Category: Electronic book

Page: 100

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The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays “sociophysics” and “econophysics”, vigorous and challenging areas within the wider “Interdisciplinary Physics”. With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component --aided by the recent data deluge from the Web 2.0 and 3.0--, closing in this way the experiment-theory cycle in the best tradition of Physics.

The 2018 Yearbook of the Digital Ethics Lab

The 2018 Yearbook of the Digital Ethics Lab

Author: Carl Öhman

Publisher: Springer Nature

ISBN: 9783030171520

Category: Philosophy

Page: 224

View: 918

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This book explores a wide range of topics in digital ethics. It features 11 chapters that analyze the opportunities and the ethical challenges posed by digital innovation, delineate new approaches to solve them, and offer concrete guidance to harness the potential for good of digital technologies. The contributors are all members of the Digital Ethics Lab (the DELab), a research environment that draws on a wide range of academic traditions. The chapters highlight the inherently multidisciplinary nature of the subject, which cannot be separated from the epistemological foundations of the technologies themselves or the political implications of the requisite reforms. Coverage illustrates the importance of expert knowledge in the project of designing new reforms and political systems for the digital age. The contributions also show how this task requires a deep self-understanding of who we are as individuals and as a species. The questions raised here have ancient -- perhaps even timeless -- roots. The phenomena they address may be new. But, the contributors examine the fundamental concepts that undergird them: good and evil, justice and truth. Indeed, every epoch has its great challenges. The role of philosophy must be to redefine the meaning of these concepts in light of the particular challenges it faces. This is true also for the digital age. This book takes an important step towards redefining and re-implementing fundamental ethical concepts to this new era.

Data Mining and Learning Analytics

Data Mining and Learning Analytics

Author: Samira ElAtia

Publisher: John Wiley & Sons

ISBN: 9781118998229

Category: Computers

Page: 320

View: 736

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Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

International Conference of the Learning Sciences

International Conference of the Learning Sciences

Author: Barry J. Fishman

Publisher: Psychology Press

ISBN: 9781134998135

Category: Psychology

Page: 400

View: 389

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The field of the learning sciences is concerned with educational research from the dual perspectives of human cognition and computing technologies, and the application of this research in three integrated areas: *Design: Design of learning and teaching environments, tools, or media, including innovative curricula, multimedia, artificial intelligence, telecommunications technologies, visualization, modeling, and design theories and activity structures for supporting learning and teaching. *Cognition: Models of the structures and processes of learning and teaching by which knowledge, skills, and understanding are developed, including the psychological foundations of the field, learning in content areas, professional learning, and the study of learning enabled by tools or social structures. *Social Context: The social, organizational, and cultural dynamics of learning and teaching across the range of formal and informal settings, including schools, museums, homes, families, and professional settings. Investigations in the learning sciences approach these issues from an interdisciplinary stance combining the traditional disciplines of computer science, cognitive science, and education. This book documents the proceedings of the Fourth International Conference on the Learning Sciences (ICLS 2000), which brought together experts from academia, industry, and education to discuss the application of theoretical and empirical knowledge from learning sciences research to practice in K-12 or higher education, corporate training, and learning in the home or other informal settings.